geometry > numpy > star shaped (星形) の頂点座標と辺の情報(頂点インデックスのペア)を得る > v0.5 取得コードと確認用描画コード
動作環境
GeForce GTX 1070 (8GB)
ASRock Z170M Pro4S [Intel Z170chipset]
Ubuntu 16.04.4 LTS desktop amd64
TensorFlow v1.7.0
cuDNN v5.1 for Linux
CUDA v8.0
Python 3.5.2
IPython 6.0.0 -- An enhanced Interactive Python.
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609
GNU bash, version 4.3.48(1)-release (x86_64-pc-linux-gnu)
scipy v0.19.1
geopandas v0.3.0
MATLAB R2017b (Home Edition)
ADDA v.1.3b6
gnustep-gui-runtime v0.24.0-3.1
PyMieScatt v1.7.0
- v0.1: geometry > numpy > pentagon (五角形)の座標を得る | Matplotlibでの描画 > v0.1, v0.2
- geometry > numpy > star shaped (星形) の座標を得る | Matplotlibでの描画 > v0.3:座標は得られた | v0.4: モジュール化
星形の形状内部をfillする方法を検討することで、Gaussian random sphereの内部fill方法を探している。
頂点座標だけで星形をfillしようとしていたが、その場合、五角形と星形の区別ができない。
辺の情報が別途必要になる。
頂点と辺の情報を返す
geometry_starShaped_180428.py
import numpy as np
'''
v0.1 Apr. 28, 2018
- get_starShaped() returns EDGE_IDXS[]
- remove: import [matplotlib.pyplot]
+ not needed
=== branched from [geometry_starShaped_180415.py] ===
v0.1 Apr. 15, 2018
- add Test_get_starShaped()
- separated from [geometry_starShaped_180414.ipynb]
'''
NUM_VERT = 5 # number of vertices (5: for pentagon)
def get_pentagon(radius, upward):
xs, ys = [], []
for idx in range(NUM_VERT):
theta = 2.0 * np.pi * idx / NUM_VERT
if upward:
theta += np.pi / 2.0 # to put the one vertex upward
else:
theta -= np.pi / 2.0 # to put the one vertex downward
xs += [radius * np.cos(theta)]
ys += [radius * np.sin(theta)]
return xs, ys
# vertex indices pair to form edges
# only outermost edges are taken in to account
EDGE_IDXS = [
[2, 5], [3, 5], [3, 6], [4, 6], [4, 7],
[0, 7], [0, 8], [1, 8], [1, 9], [2, 9]
]
def get_starShaped(rad_inner, rad_outer):
xis, yis = get_pentagon(rad_inner, upward=False)
xos, yos = get_pentagon(rad_outer, upward=True)
vtx_xs = [*xis, *xos]
vtx_ys = [*yis, *yos]
return vtx_xs, vtx_ys, EDGE_IDXS
def Test_get_starShaped():
vtxs, vtys, edgidx = get_starShaped(rad_inner=5, rad_outer=10)
return vtxs, vtys, edgidx
if __name__ == '__main__':
res = Test_get_starShaped()
print(res)
描画
上記のコードを元にMatplotlibで描画してみる。
draw_starShaped_180428.ipynb
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from pylab import rcParams
import geometry_starShaped_180428 as GSS
'''
v0.1 Apr. 28, 2018
- draw edges
- import geometry_starShaped_180428
- remove: import geometry_starShaped_180415
=== branched from [geometry_starShaped_180414.ipynb] ===
v0.4 Apr. 15, 2018
- tweak figure size
- show 2 results
- separate get_pentagon() and get_starShaped() to [geometry_starShaped_180415]
v0.3 Apr. 14, 2018
- add get_starShaped()
v0.2 Apr. 14, 2018
- fix bug: get_pentagon() did not use [radius] arg
- get_pentagon() takes [upward] arg
v0.1 Apr. 14, 2018
- add get_pentagon()
+ to obtain pentagon geometry
'''
rcParams['figure.figsize'] = 14, 7
rcParams['figure.dpi'] = 110
RAD_INNER = 5
RAD_OUTER = 10
vtx_xs, vtx_ys, edge_idxs = GSS.get_starShaped(RAD_INNER, RAD_OUTER)
fig = plt.figure()
ax1 = fig.add_subplot(1, 2, 1)
ax1.scatter(xs1, ys1)
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.grid(True)
for apair in edge_idxs:
idx0, idx1 = apair[0], apair[1]
xs = [vtx_xs[idx0], vtx_xs[idx1]]
ys = [vtx_ys[idx0], vtx_ys[idx1]]
ax1.plot(xs, ys)
fig.tight_layout()
Author And Source
この問題について(geometry > numpy > star shaped (星形) の頂点座標と辺の情報(頂点インデックスのペア)を得る > v0.5 取得コードと確認用描画コード), 我々は、より多くの情報をここで見つけました https://qiita.com/7of9/items/34143b5af773ab0280b0著者帰属:元の著者の情報は、元のURLに含まれています。著作権は原作者に属する。
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